Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFC296719150263F0293C3C9B351B72EA3E3838EDA89181653FD875E4BE7E51ED2352A |
|
CONTENT
ssdeep
|
768:QSXy5N8xyZQ7541rtDkCoBHSKc+7sOy2+y9BH4cLIe:zyZQ7541JwCo1c+7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd12d0699492 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3e3cc4cb600 |
|
VISUAL
wHash
|
80fd61200c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
408080106c888000,1449d3c3e3cccc36 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)